Vasileios Lampos - Google Scholar

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	All	Since 2015
Citations	2631	2115
h-index	21	20
i10-index	25	25

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Co-authors

Nikolaos AletrasUniversity of SheffieldVerified email at sheffield.ac.uk
Ingemar J. CoxUniversity College LondonVerified email at ieee.org
Nello CristianiniUniversity of BristolVerified email at bristol.ac.uk
Daniel Preotiuc-PietroBloomberg LPVerified email at bloomberg.net
Bin ZouUniversity College LondonVerified email at cs.ucl.ac.uk
Tom Lansdall-WelfareRipjarVerified email at ripjar.com
Elad Yom-TovMicrosoft ResearchVerified email at yom-tov.info
Trevor CohnSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Alberto AcerbiCentre for Culture and Evolution, Brunel University LondonVerified email at brunel.ac.uk
R. Alexander BentleyProfessor, University of TennesseeVerified email at utk.edu
Richard PebodyConsultant Epidemiologist, Public Health EnglandVerified email at phe.gov.uk
Tijl De BieFull Professor, Ghent UniversityVerified email at ugent.be
Dimitrios TsarapatsanisLecturer in Law, University of YorkVerified email at york.ac.uk
Svitlana VolkovaData Sciences and Analytics Group, National Security Directorate, Pacific Northwest NationalVerified email at pnnl.gov
Yoram BachrachDeepMindVerified email at google.com
Philip GarnettUniversity of York, UKVerified email at prgarnett.net
Andrew MillerPostdoctoral Research Scientist, Columbia UniversityVerified email at columbia.edu
Christian StefansenGoogleVerified email at google.com
Steve CrossanVenture Partner, Firstminute CapitalVerified email at firstminute.capital
Michael EdelsteinConsultant Epidemiologist, Public Health England and Research fellow, Centre on Global HealthVerified email at phe.gov.uk

Vasileios Lampos

University College London

Verified email at ucl.ac.uk - Homepage

machine learning natural language processing health social science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Flu Detector - Tracking Epidemics on Twitter V Lampos, T De Bie, N Cristianini ECML PKDD, 599-602, 2010	434*	2010
Tracking the flu pandemic by monitoring the Social Web V Lampos, N Cristianini 2nd International Workshop on Cognitive Information Processing (CIP), 411-416, 2010	396	2010
Predicting judicial decisions of the European Court of Human Rights: A natural language processing perspective N Aletras, D Tsarapatsanis, D Preoţiuc-Pietro, V Lampos PeerJ Computer Science 2, e93, 2016	276	2016
Nowcasting Events from the Social Web with Statistical Learning V Lampos, N Cristianini ACM Transactions on Intelligent Systems and Technology (TIST) 3 (4:72), 2012	245	2012
Studying User Income through Language, Behaviour and Affect in Social Media D Preoţiuc-Pietro, S Volkova, V Lampos, Y Bachrach, N Aletras PLoS ONE 10 (9), e0138717, 2015	175	2015
An analysis of the user occupational class through Twitter content D Preotiuc-Pietro, V Lampos, N Aletras Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	161	2015
The Expression of Emotions in 20th Century Books A Acerbi, V Lampos, P Garnett, RA Bentley PLoS ONE 8 (3), e59030, 2013	130	2013
Effects of the Recession on Public Mood in the UK T Lansdall-Welfare, V Lampos, N Cristianini Proceedings of WWW '12 (Companion), 1221-1226, 2012	114	2012
Advances in nowcasting influenza-like illness rates using search query logs V Lampos, AC Miller, S Crossan, C Stefansen Scientific Reports 5, 2015	93	2015
A user-centric model of voting intention from Social Media V Lampos, D Preotiuc-Pietro, T Cohn Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013	87	2013
Predicting and Characterising User Impact on Twitter V Lampos, N Aletras, D Preoţiuc-Pietro, T Cohn Proceedings of the 14th Conference of the European Chapter of the …, 2014	78	2014
Books Average Previous Decade of Economic Misery RA Bentley, A Acerbi, P Ormerod, V Lampos PLoS ONE 9 (1), e83147, 2014	62	2014
Inferring the Socioeconomic Status of Social Media Users based on Behaviour and Language V Lampos, N Aletras, JK Geyti, B Zou, IJ Cox Proceedings of the 38th European Conference on Information Retrieval (ECIR …, 2016	49	2016
Nowcasting the mood of the nation T Lansdall‐Welfare, V Lampos, N Cristianini Significance 9 (4), 26-28, 2012	42	2012
On Infectious Intestinal Disease Surveillance using Social Media Content B Zou, V Lampos, R Gorton, IJ Cox 6th International Conference on Digital Health (DH '16), 2016	38	2016
Enhancing feature selection using word embeddings: The case of flu surveillance V Lampos, B Zou, IJ Cox Proceedings of the 26th International World Wide Web Conference, 695-704, 2017	37	2017
Analysing Mood Patterns in the United Kingdom through Twitter Content V Lampos, T Lansdall-Welfare, R Araya, N Cristianini Computing Research Repository (CoRR) arXiv:1304.5507, 2013	31	2013
Assessing the impact of a health intervention via user-generated Internet content V Lampos, E Yom-Tov, R Pebody, IJ Cox Data Mining and Knowledge Discovery 29 (5), 1434-1457, 2015	28	2015
On voting intentions inference from Twitter content: a case study on UK 2010 General Election V Lampos Computing Research Repository (CoRR) arXiv:1204.0423, 2012	24	2012
Multi-Task Learning Improves Disease Models from Web Search B Zou, V Lampos, I Cox Proceedings of the 2018 World Wide Web Conference, 87-96, 2018	21	2018

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